ai-media-canvas

Create beautiful visual art as .png and .pdf files using design philosophy. Use when the user asks to create a poster, visual artwork, design piece, or static visual output via code generation. Requires the execute tool and Python with Pillow/reportlab.

Use structured JSON prompts for AI image generation instead of free-form text. Produces more consistent, controllable, and high-quality results. Activate when the user asks to generate, create, or design images, illustrations, photos, posters, or any visual content via the generate_image tool.

Draft, refine, or use model-ready prompts for AI Media Canvas video generation. Use when the user asks for video prompts, prompt optimization, storyboard-to-video prompts, image-to-video motion prompts, keyframe/reference-image prompts, or finished video generation with supported models such as Seedance, Veo, Kling, Sora, Wan, Hailuo, Runway, Agnes, Grok Imagine, or HappyHorse.

Generate or edit raster images in AI Media Canvas when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, ads, storyboards, UI mockups, product images, or cutout-style assets. Use when the assistant should create a brand-new image, transform an existing image, derive visual variants from references, or prepare a production-ready prompt for the generate_image tool. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.